Master of Science [M.Sc] (Data Science and Analytics)
Field of Study:
£27,100/Yr
- MSc in Artificial Intelligence at the Royal Holloway, University of London is offered as a 1-year program by the College of Science and Engineering.
- This university is ranked #25 in the UK for International Outlook by THE World University Rankings 2021.
- It is an on-campus program offered on a full-time basis only.
- Study Data Science and Analytics at Royal Holloway, University of London, and students will develop the practical skills needed to handle and analyze data in a wide variety of fields, preparing you for a rewarding career in Big Data.
- Students will study in a department with a strong reputation for research excellence.
- The Department of Computer Science was ranked 11th in the UK for the quality of its research publications (Research Excellence Framework 2014), and students will have the opportunity to contribute to this leading research culture with their own individual projects.
- This flexible program gives students the chance to tailor their learning to their own strengths and interests, with a broad range of optional modules including Online Machine Learning, Methods of Bioinformatics, and Microeconometrics providing scope and variety.
- Follow your passion for Data Science and Analytics at Royal Holloway and students will graduate with a desirable Master's degree from a highly regarded department, as well as a transferable skillset that’s both in short supply and in high demand by employers.
- The location near the M4 corridor – also known as ‘England’s Silicon Valley’ – means students can benefit from networking and placement opportunities with some of the country’s top technology institutions.
- Skills that students will acquire include the ability to:
- work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks
- work with structured, unstructured, and time-series data
- work with software packages such as MATLAB and R
- design data processing solutions for data-intensive analytics problems
- work with modern tools for massively distributed data processing, such as Hadoop and Pig, and Cloud Computing tools such as Amazon S3, EC2, and Elastic MapReduce
- design Extract-Transfer-Load (ETL) pipelines
- design Data Warehousing and Decision Support System (DSS) solutions
- work with highly-scalable data-storage solutions, such as MongoDB, Cassandra, HBase, and other NoSQL Data Stores
- work with data-intensive computing technologies, such as Hadoop MapReduce, Spark, Hive, and Pig
- work with Cloud Computing tools, such as Amazon S3, EC2, and Elastic MapReduce
- The MSc program consists of 60 credits.
Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fees | £27100 (GBP 27100) |
Other Expenses
Head | Avg Cost Per Year |
---|---|
Housing and Board | £15800 (GBP 15800) |
Total Cost | £15800 (GBP 15800) |
Previous Year Tuition Fees
Year | 1st Year Fees |
---|---|
2021 | £35321 (GBP 35321) |
Eligibility & Entry Requirement
Academic Eligibility:
- Applicants must hold a UK 2:1 (Honours) in Computer Science, Economics, Mathematics, Physics, or other subjects that include a strong element of both mathematics and computing or equivalent from a recognized institution.
- A GPA of at least 3.0/4.0 is required to be eligible for the program.
Indian Student Eligibility:
- Students must complete an undergraduate degree with first-class in a relevant field from a highly ranked university in India.
- Or, students completed a master's degree with first-class in a relevant field from a recognized institution.
- Bachelor's degree with 60% to 65% overall or a CGPA of 6.0 to 6.5 out of 10 overall depending on the institution.
Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test to get admission to this program.
Scores Required
Trinity College London Integrated Skills in English (ISE): ISE III
Required Document List
The following required documents are:
- Resume/CV: It is the outline of academic achievements and/or awards, publications, relevant work, and/or volunteer experience.
- Two Letter of Recommendation: Letter of recommendation (combination of professional and academic recommenders) which includes information about the student, their connection with the person they are recommending, their qualification, and the specific skills they have.
- Statement of Purpose: This statement must describe your qualifications and the objectives of your intended educational program.
- Personal Statement: Reasons or intentions for pursuing studies in this program, including a description of prior experience.
- Official Transcripts: Applicants who have attended and/or received degrees from institutions outside the US must provide certified copies and certified English translations of transcripts or records of all previous post-secondary education and of all degrees conferred.
- ELP Scores: Students have to submit their English language proficiency scores like IELTS, TOEFL, or other test scores.
Course Guides
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Career and Placement after Course
The careers after graduation are:
- Machine learning engineer
- Data architect
- Statistician
- Data analyst
- Chief technology officer (CTO)
- Chief data officer (CDO)
- Application architect
- Project manager
Scholarship Grants & Financial Aids
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
Debesh Kamal Scholarship | Scholarship per student£ 1,385/Yr$1,385 | Level Of StudyBachelor | TypeMerit-Based | |
India Postgraduate Taught Master’s Scholarship | Scholarship per student£ 3,555/Yr$3,555 | Level Of StudyMaster | TypeCollege-Specific | |
Narotam Sekhsaria Scholarships | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
Prodigy Finance-GyanDhan Scholarship | Scholarship per student£ 2,500/Yr$2,500 | Level Of StudyMaster | TypeMerit-Based | |
Axol Science Scholarship | Scholarship per student£ 2,000/Yr$2,000 | Level Of StudyBachelor | TypeCompany-Sponsored | |
Aga khan Foundation Scholarships | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based |
College Student Profiles
Reviews
1 Reviews Found
Very good taught MSc Data Science program, near London, one graduate internship year to gain industry experience, top-ranked university rigorous research in Machine Learning and AI.
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